Hi there! I'm Mohammed Imaad Shingeti, a passionate and enthusiastic data analyst with a strong foundation in Visualization, programming, and data manipulation. I am excited to embark on a career in data analysis and contribute to making data-driven decisions. I pursued a Bachelor's degree (BCA), where I gained expertise in various techniques and programming languages like Python and SQL.
I actively engaged in hands-on projects that allowed me to apply my skills to real-world datasets. This experience taught me the importance of data-driven decision-making and ignited my passion for leveraging data to solve complex problems. In addition to my technical skills, I am a firm believer in the power of data visualization. I have honed my abilities to create compelling visual representations of data using tools like Tableau and Power BI.
I enjoy delving into datasets, uncovering hidden patterns, and translating complex findings into meaningful stories. I am driven by the desire to provide actionable insights that contribute to organizational success.
Thank you for taking the time to learn more about me. I invite you to explore my portfolio and projects to gain a deeper understanding of my capabilities as a fresher data analyst.
Developed reports using MS-Excel ,Power BI And Tableau which helps to analyse the data and derived the meaningful insights and hidden trends from it
Perform DAX function in Power BI for better Analysis of data prepared queries in MySQL for various KPIs
PwC Power BI In Data Analytics Virtual Case, Virtual Internship made by Forage and PwC Switzerland Team, PwC Power BI In Data Analytics Virtual case: with 3 task
1. Created a report for a Telecom company to see present trends in calls and agents performance by setting KPI.
2.Then created another report for Churn Customers based on there subscription plan and other details.
3.Created report for HR Team to balance the workforce based on Gender to improve Diversity and Inclusion at there organization.
Grade: 78% Distinction
Grade: 80% Distinction
Grade: 75% Distinction